Staff AI Platform Architect

Cerebras; Sunnyvale (CA); On-site; USD 190,000 - 270,000; Full time

Job summary

Cerebras Systems in Sunnyvale seeks a staff‑level solution engineer to design and deliver end‑to‑end AI platform architectures for enterprise workflows.

You will build AI agents, orchestration services and secure data flows across finance systems like NetSuite, while shaping platform strategy, governance and SOX compliance.

Join a team building one of the fastest AI supercomputers and contribute to adoption, reliability and scalable production deployments across the business.

Qualifications

• 8+ years in software, integration, or enterprise applications with hands-on production ownership.
• Strong Python and/or TypeScript; experience with APIs, MCP, enterprise authentication, and distributed-system design.
• Practical experience building production AI systems using agents, tool use, retrieval, structured outputs, evaluations and monitoring.
• Practical familiarity with leading LLM platforms and agent frameworks, such as OpenAI, Anthropic, Gemini, LangChain, Semantic Kernel or comparable technologies, including prompt and context engineering.
• Strong solution-architecture judgment across security, reliability, performance, cost, observability and supportability.
• Working knowledge of enterprise Finance processes such as general ledger, close, reporting, procure-to-pay, order-to-cash, forecasting and management reporting.
• Working knowledge of compliance-by-design, including access, segregation of duties, change management, interfaces, automated controls, completeness and accuracy, and audit evidence.
• Ability to communicate with engineers, Finance leaders, control owners, Security and executives.

Responsibilities

• Design end-to-end agentic solutions and determine when a use case should query a source system directly versus use the unified data model.
• Partner with stakeholders to identify high-value use cases, translate requirements into controlled AI workflows and select AI, conventional automation or no new technology.
• Create reusable architecture patterns for agents, tools, APIs, MCP servers, prompts, evaluations and human-review workflows.
• Produce solution designs, security flows, deployment patterns and technical standards.
• Build AI agents, orchestration services, enterprise applications and reusable platform components.
• Deliver workflows for close and reporting, procurement, forecasting, billing and compliance monitoring where AI adds measurable value.
• Establish secure, primarily read-only AI connections to approved business systems, beginning with NetSuite and extending to adjacent Finance and enterprise platforms as priorities evolve.
• Preserve source-system authentication, authorization, user-level entitlements, rate limits and audit trails.
• Implement citations, evidence links, deterministic checks, exception handling and safe action boundaries.
• Assess business-built or rapidly developed prototypes for value, architecture, security, maintainability and control readiness.
• Refactor or rebuild approved prototypes into tested, monitored and supportable enterprise applications.Establish development, test and production environments, release pipelines, incident response and rollback controls.
• Evaluate AI models, agent frameworks, connectors and enterprise platforms on a regular cadence.
• Run structured proofs of concept and assess security, accuracy, integration, scalability, experience, cost and vendor viability.
• Maintain platform standards and recommend adoption, retention, replacement or retirement decisions.
• Create clear documentation, reusable patterns and reference architectures; coach teams on effective agent design, prompts, evaluation practices and safe operating boundaries.
• Establish feedback loops with users and process owners; use adoption, task success, efficiency, trust and support signals to guide iteration.
• Translate Finance, Security, Privacy, SOX and SSDLC requirements into technical architecture and application controls.
• Implement least privilege, segregation of duties, logging, retention, evaluation, change control and audit evidence.
• Require deterministic validation and reconciliation for financially material outputs.
• Support SOX walkthroughs, control testing, audits, risk assessments and remediation while escalating formal approval to control owners.

Skills

Python

TypeScript

APIs

Distributed systems

Agent frameworks

LLM platforms

Security & compliance

Finance processes

Communication

Tools

MCP protocols

NetSuite

ERP systems

SOX controls

Job description

Cerebras Systems in Sunnyvale seeks a staff‑level solution engineer to design and deliver end‑to‑end AI platform architectures for enterprise workflows.

You will build AI agents, orchestration services and secure data flows across finance systems like NetSuite, while shaping platform strategy, governance and SOX compliance.

Join a team building one of the fastest AI supercomputers and contribute to adoption, reliability and scalable production deployments across the business.